• 한국의류산업학회지
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• 제10권5호
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• pp.676-682
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• 2008

In this study a guideline of the 3D-fit pattern for the ECG(electrocardiogram) measurement of elderly's u-healthcare clothes was proposed. In the screening test of the ECG measurement band, ECG peak band was observable at the band pressure of 0.20 kPa. By employing a 3D body image, tight-fit 3D patterns were made at two different reduction rates of 21%(pattern 1) and 33%(pattern 2), and corresponding pressure of both of the clothes were 0.25 kPa and 0.54 kPa, respectively. Typical waves of ECG were found in both stationary and moving position. In terms of the subjective evaluation of the u-healthcare clothes when worn, it was confirmed that reduction pattern 1(0.25 kPa) conveyed comfortable clothing pressure and pleasantness, which is very close to the result of screening test of ECG band experiment. As results, it is recommended that reduction rate should be adjusted, so that clothing pressure is about 0.2 kPa for the elderly's comfortable and efficient u-healthcare clothes.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.221-222
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• 2013

• 한국의류학회지
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• 제32권2호
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• pp.340-347
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• 2008

A prototype of 3D clothing design system with a direct pattern development function was suggested, reflecting intuitive design functions and design modifications while considering the fit of clothing patterns with the 3D human body in the virtual 3D space. The research method was as follows. Clothing models were created using a 3D design tool, 3ds max on the surface of 3D human body model made by scanning an actual human body. 3D illustrations were completed by revising the fit and sizing of the human body and clothing models. 2D T-shirt pattern was produced 3D illustrations using from a 3D scanning data modeling solution RapidForm 2004, a 2D conversion program for 3D data called 2C-AN, and Yuka CAD. As a result, the following conclusions were made. The fit of the clothing and human body can be adjusted by reflecting individual body figure characteristics and 3D illustrations over the actual 3D body model. Furthermore, intuitive design support functions were intensified overcoming the weak point of existing 3D clothing design system by developing the direct clothing design in the virtual 3D space. 3D illustration design modifications can be directly reflected on clothing patterns from 3D illustrations by 3D clothing design system developed in this study.

• 한국의류산업학회지
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• 제10권5호
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• pp.652-659
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• 2008

This study was designed to testify the possibility and devise the method to manipulate the 3D body scan data to produce rounded-belt pattern adaptable to hip-type variation of women in their 20's. The results of this research were as follows : Firstly, based on drop-value distribution of hip and waist girth, 151 subjects were classified into three hip-types; Type 1 (15.23%) was 'cylinder type', showing lowest drop-value, Type 2 (69.54%) was 'average type' and Type3 (15.23%) was 'hourglass type' showing highest drop-value. Secondly, using CAD program, design lines for round shape belt were set on the surface of 3D scan data of representative subject of each type. And divided 3D surfaces were flattened onto the plane by the internal tools of CAD program. The measure, 'lifting value of round belt pattern', implying the level of curve ratio of pattern was higher in back than front. This result might be linked to the fact that the hip part is more protruded than the abdomen part. And the measures also showed highest values in Type 3(hourglass type) and lowest in Type 1(cylinder type), meaning that the pattern of Type 3 showed more rounded shape than that of Type 1. This finding implied that round belt for body type having high drop-value should be shaped more curved. Thirdly, difference ratios of outline length and area between 3D curves(body surface) and 2D plane(pattern) were 4.5% and 1.3%, respectively. This result demonstrated and solidified the feasibility of designing digital garment pattern from 3D body scan data.

• 한국의류학회지
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• 제32권5호
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• pp.846-858
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• 2008

This study was designed to propose a method to draft bodice block pattern from 3D body scan data. Subjects were ten elderly women in their 60's, who wear basic size(B: 94cm, W: 82cm) garment. Scanning was done using 3D whole body scanner(WB4, Cyberware). Measurements for 3D data and cross section were attained using Auto CAD, by which a upper bodice pattern for elderly women was drawn on the basis of short measured method. The results are as following: As for most items, no significant differences were shown between measurements from Martin's anthropometry and those from 3D scan data, suggesting measurement from 3D scan data could be used to draft a pattern. The drafting equations acquired were as follows; width of pattern=B/2+5.5, width of waist=W/2+3.5cm, dart amount=8cm. Dart distributions were 23%(B.P.) : 20%(front armpit) : 17%(side seam) : 18%(back armpit) : 15%(back protruded point) : 7% (center back line). Through wearing test using 5-point Likert scale, resultant pattern was evaluated as appropriate for elderly women's pattern to get over 4 point. As a result, it might be said that 3D scanning application is effective for elderly women in that it doesn't take time so much as Martin's anthropometry and that their body shape vary compared with those of young women.

• 한국컴퓨터정보학회논문지
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• 제24권2호
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• pp.75-84
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• 2019

The purpose of this study was to present a good pants pattern for boys aged 13-18 by comparing and analyzing the pants pattern according to lower body shape. And through it, this study was to provide basic data for pants production considering male student body shape. The pattern of this study used the industrial type Lee Hee-chun pattern and DC Suite Program for 3D virtual simulation. As a result of the appearance evaluation, there was a significant difference between the patterns in most items. Type 2 was rated highly, followed by Type 4, Type 3, and Type 1. Type 1 required correction of the length of the pants and the amount of crotch part, while type 3 required adjustment of the pants in the knee area. Type 4 required correction of pattern drawing method of crotch width, thigh circumference, and knee circumference. This pattern method was evaluated as suitable for slender body shape. This study suggests a pants pattern system suitable for adolescent boys by reflecting the body shape characteristics of adolescent boy with a change of body shape. It is expected that this will meet the increasing demand for fitting. In this study, we have examined 3D virtual simulation, not actual wear experiment, so it will be necessary to investigate the difference through actual clothing experiment for adolescent boys.

• 한국산학기술학회논문지
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• 제16권2호
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• pp.1549-1554
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• 2015

교반조 바닥에 방해판이 부착된 경우 유동특성 및 입자부유특성을 실험적으로 연구하였다. 입자의 유동상태는 교반조 바닥 중심으로부터 상승류가 증가하였다. 입자부유 실험으로부터 에크만 경계층의 발달에 의해 입자부유가 촉진됨을 알았다. 본 실험범위 내에서의 임펠러 및 교반조 바닥 방해판의 최적조건을 다음과 같이 나타내었다. 교반임펠러 최적조건 : $n_p=6$, d/D=0.5, b/d=0.3, 교반조 바닥 방해판 최적조건 ; $n_b=6$, $d_b/D=0.5$, $b_w/D=0.05$.

• 한국의류산업학회지
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• 제9권4호
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• pp.418-424
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• 2007

The purpose of this study is to propose a standard of converting 3D shape of men in twenties to 2D patterns. This can be a basis for scientific and automatic pattern making for high quality custom clothes. Firstly, representative 3D body shape of men was modeled. Then the 3D model was divided into 3 shells, front, side and back. Among them, the front shell was divided into 4 blocks by bust line and princess line. Secondly, curves are generated on each block according to matrix combination by grid method. Then triangles were developed into 2D pieces by reflecting the 3D curve length. The grid was arranged to maintain outer curve length. Next, the area of developed pieces and block were calculated and difference ratio between the block area and the developed pieces' area is calculated. Also, area difference ratio by the number of triangles is calculated. The difference ratio was represented as graphs and optimal section is selected by the shape of graphs. The optimal matrix was set considering connection with other blocks. Curves of torso upper front shell were regenerated by the optimal matrix and developed into pieces. We validated it's suitability by comparing difference ratio between the block area and the developed pieces' area of optimal section. The results showed that there was no significant difference between block area and the pieces' area developed by optimal matrix. The optimal matrix for 2D developing could be characterized as two types according to block's shape characteristics, one is affected by triangle number, the other is affected by number of raws more than columns. Through this study, both the 2D pattern developing from 3D body shape and 3D modeling from 2D pattern is possible, so it's standardization also possible.

• 한국전자통신학회논문지
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• 제3권4호
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• pp.254-259
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• 2008

이 논문에서는 주어진 패턴 집합을 두 개의 분할된 클래스로 분류하는 분류기로써 D1-MACA (Depth 1 Multiple Attractor Cellular Automata)를 제안한다. 이 때 메모리량을 최소화 할 수 있는 방법으로 attractor의 수가 2개 되게 D1-MACA를 구성할 수 있는 패턴 집합의 조건을 분석하고, 분류기로써의 D1-MACA를 구성하는 방법을 부분공간의 개념을 이용하여 효율적으로 구성한다.

• 디지털산업정보학회논문지
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• 제9권2호
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• pp.111-119
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• 2013

Face recognition has recently become one of the most popular research areas in the fields of computer vision, machine learning, and pattern recognition because it spans numerous applications, such as access control, surveillance, security, credit-card verification, and criminal identification. In this paper, we propose a simple descriptor called an ECSP(Extended Center-Symmetric Pattern) for illumination-robust face recognition. The ECSP operator encodes the texture information of a local face region by emphasizing diagonal components of a previous CS-LBP(Center-Symmetric Local Binary Pattern). Here, the diagonal components are emphasized because facial textures along the diagonal direction contain much more information than those of other directions. The facial texture information of the ECSP operator is then used as the input image of an image covariance-based feature extraction algorithm such as 2D-PCA(Two-Dimensional Principal Component Analysis). Performance evaluation of the proposed approach was carried out using various binary pattern operators and recognition algorithms on the Yale B database. The experimental results demonstrated that the proposed approach achieved better recognition accuracy than other approaches, and we confirmed that the proposed approach is effective against illumination variation.